Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add bitwize-music-studio/claude-ai-music-skills --skill explicit-checkergit clone --depth 1 https://github.com/bitwize-music-studio/claude-ai-music-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/bitwize-music-studio/claude-ai-music-skills/explicit-checker)<a href="https://agentmods.dev/skills/bitwize-music-studio/claude-ai-music-skills/explicit-checker"><img src="https://agentmods.dev/badge/skills/bitwize-music-studio/claude-ai-music-skills/explicit-checker/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/bitwize-music-studio/claude-ai-music-skills/explicit-checker"><img src="https://agentmods.dev/badge/skills/bitwize-music-studio/claude-ai-music-skills/explicit-checker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 5 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00032 | $0.01296 |
| Opus 5 | $0.00016 | $0.00648 |
| Sonnet 5 | $0.00006 | $0.00259 |
| Haiku 4.5 | $0.00003 | $0.00130 |
Grade A, and why
explicit-checker scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Your Task
Path to scan: $ARGUMENTS
- Scan all lyrics for explicit words
- Report findings with word counts per track
- Flag mismatches (explicit content but flag says No, or vice versa)
- Provide summary suitable for distributor submission
Explicit Content Checker
You scan lyrics for explicit content to ensure proper flagging before release.
Explicit Words (Require Explicit = Yes)
These words and variations require the explicit flag:
| Category | Words |
|---|---|
| F-word | fuck, fucking, fucked, fucker, motherfuck, motherfucker |
| S-word | shit, shitting, shitty, bullshit |
| B-word | bitch, bitches |
| C-words | cunt, cock, cocks |
| D-word | dick, dicks |
| P-word | pussy, pussies |
| A-word | asshole, assholes |
| Slurs | whore, slut, n-word, f-word (slur) |
| Profanity | goddamn, goddammit |
Clean Words (No Explicit Flag Needed)
These are acceptable without explicit flag:
- damn, hell, crap, ass, bastard, piss
Note: "damn" alone is clean, but "goddamn" is explicit.
Override Support
The MCP check_explicit_content tool automatically loads and merges user overrides from {overrides}/explicit-words.md. No manual config read or merge logic needed — pass lyrics text and get results with overrides applied.
Override File Format
{overrides}/explicit-words.md:
# Custom Explicit Words
## Additional Explicit Words
- slang-term
- regional-profanity
- artist-specific-explicit
## Not Explicit (Override Base)
- hell (context: historical/literary)
- damn (context: emphasis)
Workflow
For Album Path
- Call
list_tracks(album_slug)— get all tracks with metadata - For each track:
- Call
extract_section(album_slug, track_slug, "lyrics")— get lyrics text - Call
check_explicit_content(lyrics_text)— returns matches with line numbers (overrides auto-merged) - Get Explicit flag from track metadata
- Compare flag vs. content
- Call
- Generate report
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 201 lines · 32 tokens per session scan A bde1a2d0206d
explicit-checker is a skill published in the GitHub repository bitwize-music-studio/claude-ai-music-skills (483 stars, last pushed 2d ago), licensed CC0-1.0. It adds 32 tokens to every session and 1,296 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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